Statistical modeling of mRNP transport in dendrites: A comparative analysis of β‐actin and Arc mRNP dynamics

Abstract

AbstractLocalization of messenger RNA (mRNA) in dendrites is crucial for regulating gene expression during long‐term memory formation. mRNA binds to RNA‐binding proteins (RBPs) to form messenger ribonucleoprotein (mRNP) complexes that are transported by motor proteins along microtubules to their target synapses. However, the dynamics by which mRNPs find their target locations in the dendrite have not been well understood. Here, we investigated the motion of endogenous β‐actin and Arc mRNPs in dissociated mouse hippocampal neurons using the MS2 and PP7 stem‐loop systems, respectively. By evaluating the statistical properties of mRNP movement, we found that the aging Lévy walk model effectively describes both β‐actin and Arc mRNP transport in proximal dendrites. A critical difference between β‐actin and Arc mRNPs was the aging time, the time lag between transport initiation and measurement initiation. The longer mean aging time of β‐actin mRNP (~100 s) compared with that of Arc mRNP (~30 s) reflects the longer half‐life of constitutively expressed β‐actin mRNP. Furthermore, our model also permitted us to estimate the ratio of newly generated and pre‐existing β‐actin mRNPs in the dendrites. This study offers a robust theoretical framework for mRNP transport, which provides insight into how mRNPs locate their targets in neurons.